Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/EvNAS-B

EvNAS-B

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology8 results

Neural Architecture SearchonImageNet
MACs· 2020-12-23
599
SOTA
Evolving Neural Architecture Using One Shot Model arXiv:2012.12540
AutoMLonImageNet
MACs· 2020-12-23
599
SOTA
Evolving Neural Architecture Using One Shot Model arXiv:2012.12540
Neural Architecture SearchonImageNet
Accuracy· 2020-12-23
75.6
best: 83.9 (DeepMAD-50M)
Evolving Neural Architecture Using One Shot Model arXiv:2012.12540
Neural Architecture SearchonImageNet
Params· 2020-12-23
5.3
best: 30.1 (ZenNAS (0.1ms))
Evolving Neural Architecture Using One Shot Model arXiv:2012.12540
Neural Architecture SearchonImageNet
Top-1 Error Rate· 2020-12-23
24.4
best: 16.1 (DeepMAD-50M)
Evolving Neural Architecture Using One Shot Model arXiv:2012.12540
AutoMLonImageNet
Accuracy· 2020-12-23
75.6
best: 83.9 (DeepMAD-50M)
Evolving Neural Architecture Using One Shot Model arXiv:2012.12540
AutoMLonImageNet
Params· 2020-12-23
5.3
best: 30.1 (ZenNAS (0.1ms))
Evolving Neural Architecture Using One Shot Model arXiv:2012.12540
AutoMLonImageNet
Top-1 Error Rate· 2020-12-23
24.4
best: 16.1 (DeepMAD-50M)
Evolving Neural Architecture Using One Shot Model arXiv:2012.12540